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DOI: 10.2174/97816080517241110101 eISBN: 978-1-60805-172-4, 2011 ISBN: 978-1-60805-389-6
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For Books Javier Ramirez, Juan Manuel Gorriz , " Recent Advances in Robust Speech Recognition Technology ", Bentham Science Publishers (2011). https://doi.org/10.2174/97816080517241110101
Print ISBN978-1-60805-389-6
Online ISBN978-1-60805-172-4
Page: i-i (1) Author: Alex Acero DOI: 10.2174/97816080517241110101000i
Page: ii-ii (1) Author: Javier Ramirez and Juan Manuel Gorriz DOI: 10.2174/9781608051724111010100ii
Page: iii-vi (4) Author: Javier Ramirez and Juan Manuel Gorriz DOI: 10.2174/978160805172411101010iii
Page: 1-12 (12) Author: Masakiyo Fujimoto DOI: 10.2174/978160805172411101010001 PDF Price: $15
Page: 13-29 (17) Author: Rasool Tahmasbi DOI: 10.2174/978160805172411101010013 PDF Price: $15
Page: 30-45 (16) Author: J. Ramirez and J. M. Gorriz DOI: 10.2174/978160805172411101010030 PDF Price: $15
Page: 46-59 (14) Author: Juan M. Gorriz and Javier Ramirez DOI: 10.2174/978160805172411101010046 PDF Price: $15
Page: 60-102 (43) Author: Philipos C. Loizou DOI: 10.2174/978160805172411101010060 PDF Price: $15
Page: 103-113 (11) Author: Peter Jancovic, Xin Zou and Munevver Kokuer DOI: 10.2174/978160805172411101010103 PDF Price: $15
Page: 114-132 (19) Author: Nam Soo Kim and Joon-Hyuk Chang DOI: 10.2174/978160805172411101010114 PDF Price: $15
Page: 133-140 (8) Author: Antonio Miguel, Alfonso Ortega and Eduardo Lleida DOI: 10.2174/978160805172411101010133 PDF Price: $15
Page: 141-154 (14) Author: Yujun Wang, Maarten Van Segbroeck and Hugo Van hamme DOI: 10.2174/978160805172411101010141 PDF Price: $15
Page: 155-168 (14) Author: Berlin Chen and Shih-Hsiang Lin DOI: 10.2174/978160805172411101010155 PDF Price: $15
Page: 169-174 (6) Author: Weifeng Li, Kazuya Takeda and Fumitada Itakura DOI: 10.2174/978160805172411101010169 PDF Price: $15
Page: 175-189 (15) Author: Chang-Wen Hsu and Lin-Shan Lee DOI: 10.2174/978160805172411101010175 PDF Price: $15
Page: 190-196 (7) Author: Luz Garcia, Jose Carlos Segura and Angel de la Torre DOI: 10.2174/978160805172411101010190 PDF Price: $15
Page: 197-210 (14) Author: John H.L. Hansen, Pongtep Angkititrakul and Wooil Kim DOI: 10.2174/978160805172411101010197 PDF Price: $15
Page: 211-214 (4) Author: Javier Ramirez and Juan Manuel Gorriz DOI: 10.2174/978160805172411101010211
This E-book is a collection of articles that describe advances in speech recognition technology. Robustness in speech recognition refers to the need to maintain high speech recognition accuracy even when the quality of the input speech is degraded, or when the acoustical, articulate, or phonetic characteristics of speech in the training and testing environments differ. Obstacles to robust recognition include acoustical degradations produced by additive noise, the effects of linear filtering, nonlinearities in transduction or transmission, as well as impulsive interfering sources, and diminished accuracy caused by changes in articulation produced by the presence of high-intensity noise sources. Although progress over the past decade has been impressive, there are significant obstacles to overcome before speech recognition systems can reach their full potential. Automatic speech recognition (ASR) systems must be robust to all levels, so that they can handle background or channel noise, the occurrence on unfamiliar words, new accents, new users, or unanticipated inputs. They must exhibit more 'intelligence' and integrate speech with other modalities, deriving the user's intent by combining speech with facial expressions, eye movements, gestures, and other input features, and communicating back to the user through multimedia responses. Therefore, as speech recognition technology is transferred from the laboratory to the marketplace, robustness in recognition becomes increasingly significant. This E-book should be useful to computer engineers interested in recent developments in speech recognition technology.
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